Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.4 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Margaliot
6
60 kgZilberstein
10
57 kgHalabi
12
66 kgGoldstein
13
63 kg
6
60 kgZilberstein
10
57 kgHalabi
12
66 kgGoldstein
13
63 kg
Weight (KG) →
Result →
66
57
6
13
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | MARGALIOT Ran | 60 |
| 10 | ZILBERSTEIN Ido | 57 |
| 12 | HALABI Shadi | 66 |
| 13 | GOLDSTEIN Roy | 63 |